Unleashing Data Governance at iFood - Harnessing System Tables and Lineage for Dynamic Tag Propagation
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Learn how to implement dynamic data governance using Databricks Unity Catalog system tables and data lineage to automatically propagate classification tags for regulatory compliance. Discover practical techniques for leveraging system tables, normalizing data, and building DLT pipelines to ensure sensitive data is properly classified and monitored throughout your data ecosystem. Explore advanced strategies for permission monitoring with automated alerts to proactively identify governance risks and prevent regulatory violations. Master the implementation of scalable frameworks that help organizations comply with LGPD, GDPR, and other data protection regulations while maintaining efficient data operations. Gain insights from iFood's real-world implementation of these governance practices, including step-by-step approaches to building robust data classification systems that automatically track and tag sensitive information as it flows through downstream tables and processes.
Syllabus
Unleashing Data Governance at iFood:Harnessing System Tables and Lineage for Dynamic Tag Propagation
Taught by
Databricks